TranslatedThis project changes the MXNet implementations in the original book 《动手学深度学习》 (Dive into Deep Learning) into PyTorch implementations.
- deep-learning
- deep-learning-tutorial
- pytorch
- pytorch-tutorial
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TranslatedThis project changes the MXNet implementations in the original book 《动手学深度学习》 (Dive into Deep Learning) into PyTorch implementations.
Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.
A curated list of awesome applications, softwares, tools and shiny things for macOS.
Materials for the Learn PyTorch for Deep Learning: Zero to Mastery course.
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An open source application built using the new router, server components and everything new in Next.js 13.
A collection of Flutter examples and demos
:book: A curated list of resources dedicated to Natural Language Processing (NLP)
A collection of projects designed to help developers quickly get started with building deployable applications using the Claude API
List of JavaScript methods which you can use natively + ESLint Plugin
One has no future if one couldn't teach themself.
TranslatedCollecting all materials related to blockchain (BlockChain) technology development, including Fabric and Ethereum development materials
TranslatedJava backend knowledge graph🔥 Helping Java beginners grow
A quick example of how one can "synchronize" a 3d scene across multiple windows using three.js and localStorage
Roadmap to becoming a React developer
A collection of algorithms and data structures
List of useful Quick Look plugins for developers
A Study Path for Game Programmer
Jargon from the functional programming world in simple terms!
TranslatedHow programmers can elegantly earn pocket money, version 2.0, upgraded into a small book. Most of this not work outside China , so no English translate
TranslatedIllustrated computer networks, operating systems, computer organization, and databases, with 1,000 diagrams + 500,000 characters, breaking down obscure and hard-to-understand computer fundamentals, so that no "bagu wen" (standard interview question essays) is hard to understand in the world! 🚀 Read online: https://xiaolincoding.com
Welcome to the Llama Cookbook! This is your go to guide for Building with Llama: Getting started with Inference, Fine-Tuning, RAG. We also show you how to solve end to end problems using Llama model family and using them on various provider services
TranslatedQuestions to ask the interviewer at the end of a technical interview
These are the best resources for System Design on the Internet